code: def FeedForward(dim, mult=4, dropout=0.0):
      return nn.Sequential(
          nn.LayerNorm(dim),
          nn.Linear(dim, dim * mult, 1),
          nn.GELU(),
          nn.Dropout(dropout),
          nn.Linear(dim * mult, dim, 1),
      )
  
imports: import torch
  from torch import nn, einsum
  from einops import rearrange
  from einops.layers.torch import Rearrange, Reduce
  import torch.nn.functional
label_desc: Use image node_id 5 for calling a global function with example usage: FeedForward(dim, mult, dropout) and returns: nn